A Survey Paper on Big Data

A Survey Paper on Big Data

Gopal Prasad Jaiswal
Department of Artificial Intelligence
SSIPMT Raipur
Raipur,India
gopal.jaiswal@ssipmt.com

  Atharv Diwan
Department of Imformation Technology
SSIPMT Raipur
Raipur,India
atharv.diwan@ssipmt.com

Modit Paswan
Department of Imformation  Technology
SSIPMT Raipur
Raipur,India
modit.paswan@ssipmt.com

Abstract— The term "big data" refers to the vast amounts of structured and unstructured data generated by organizations, individuals, and machines. This data is typically characterized by its volume, velocity, and variety, and it can come from a wide range of sources such as social media interactions, customer transaction records, sensor data, and more. Big data is a term used to describe the large, complex and diverse sets of data that are generated at an unprecedented rate from various sources such as social media, transactional systems, and other digital devices. These datasets are often so large and complex that traditional methods of data analysis and processing are no longer sufficient, and new techniques and tools have been developed to deal with them.Big data has transformed the way businesses operate and make decisions, enabling them to leverage insights from data to create competitive advantages. It has also revolutionized the way we understand and approach scientific research, medical analysis, and even social and political phenomena. By collecting and analyzing large volumes of data, researchers and analysts can identify patterns, correlations, and insights that would otherwise be impossible to see.The rise of big data has been made possible by several technological developments, including the widespread use of digital devices, cloud computing, and the development of data storage and processing tools such as Hadoop and Spark. These tools allow organizations to store, process, and analyze massive amounts of data in real-time, enabling them to derive insights and make decisions quickly.However, the use of big data also raises several challenges, including concerns about data privacy, security, and ethics. Collecting and analyzing large amounts of personal data can pose privacy risks, and the misuse of data can lead to security breaches or unethical practices. As a result, the responsible use of big data requires careful consideration and adherence to ethical and legal standards.In conclusion, big data has revolutionized the way we approach decision-making and scientific research, but its use must be approached with caution and responsibility. As the amount of data being generated continues to grow, it is crucial that organizations and individuals adopt ethical and responsible practices for data collection, processing, and analysis. The potential of big data is immense, and it is essential that we continue to explore new ways to harness its power while ensuring that its use is ethical, secure, and beneficial to society as a whole.